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首页> 外文会议>International Conference on Mechanics, Simulation and Control >An improved weld seam extraction method using saliency detection for pipe-line welding based on GMAW and passive light
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An improved weld seam extraction method using saliency detection for pipe-line welding based on GMAW and passive light

机译：基于GMAW和无源光的管线焊接耐药性检测改进的焊缝提取方法

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摘要

To meet the need of the automation and intelligence of welding process, it's very important to extract the edge of weld seam accurately for seam tracking. According to the characteristics of GMAW (gas metal arc welding), an image sensing system of weld pool region based on CCD (Charge-coupled Device) is established. An improved method of weld seam extraction is presented. Firstly, weld pool region localization method using saliency detection is proposed, and weld seam region is obtained from the right edge of weld pool, then Sobel transformation and computation model is used to extract the edge of weld seam. Experimental results show that our method can obtain a more accurate weld seam edge and cost less than other method.
机译：为了满足焊接过程的自动化和智能的需要，准确地提取焊缝的边缘非常重要，以便接缝跟踪。根据GMAW的特点（气体金属弧焊），建立了基于CCD（电荷耦合器件）的焊接池区域的图像传感系统。提出了一种改进的焊缝提取方法。首先，提出了使用显着性检测的焊接池区域定位方法，并且从焊接池的右边缘获得焊缝区域，然后使用Sobel变换和计算模型来提取焊缝的边缘。实验结果表明，我们的方法可以获得更准确的焊缝边缘，成本小于其他方法。

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